1) Computational biology with a focus on gene regulatory networks

2) Prediction of disease-critical pathways using genomic data

3) Application of artificial intelligence and machine learning in biological systems

4) Use of single/multi-objective evolutionary algorithms for gene selection and modeling

5) Development of meta-heuristic approaches for knowledge extraction

6) Biomarker identification and pathway-level intervention strategies

7) Neural modeling of transcriptional networks and memory quantification in biological systems

1) GATE Scholarship, MHRD, during Master’s program at WBUT (now MAKAUT, WB), August 2008 – July 2010

2) TEQIP Scholarship, Ministry of Education, Government of India, during Ph.D. at MAKAUT, WB, January 2013 – March 2017

3) Post-doctoral Fellowship, Allen Discovery Center, Tufts University, USA under Prof. Michael Levin, May 2019 – June 2021

4) Reviewer for reputed journals including IEEE/ACM Transactions on Computational Biology and Bioinformatics, Scientific Reports, Artificial Intelligence Review, Swarm Intelligence, Biochemical Genetics, Biodatamining and various international conferences

5) Program Committee Member, ICDSA 2021 and 2022, organized by Jadavpur University & Soft Computing Research Society

6) Media Recognition: Research featured in Business Standard – “Computer intelligence spots genes linked to Duchenne Muscular Dystrophy,” published March 16, 2017, by IANS

7) IBM Certification: IBM Certified Solution Designer, Rational Functional Tester for Java, 2010

1) Associate Professor, Meghnad Saha Institute of Technology, Kolkata
August 2022 – Present
Responsibilities: Teaching, research, and academic administration

2) Assistant Professor (Standard Track), Amrita School of Engineering, Bangalore
April 2022 – August 2022
Responsibilities: Teaching, research, and administrative responsibilities

3) Collaborative Researcher, Levin Lab, Tufts University, MA, USA
July 2021 – March 2022
Responsibilities: Research in computational genetics and gene regulatory networks

4) Post-doctoral Scholar, Levin Lab, Tufts University, MA, USA
May 2019 – June 2021
Responsibilities: Research on memory properties of biological regulatory networks

5) Research Assistant / Ph.D. Research Fellow, MAKAUT, WB (In-house)
January 2013 – March 2019, Funded by TEQIP Phase-II, Ministry of Education
Responsibilities: Research in computational genetics and teaching responsibilities

6) Assistant Professor, Dream Institute of Technology, Kolkata
August 2010 – December 2012
Responsibilities: Teaching, research, and departmental administrative roles

7) Computer Programmer, Cosmos Systems, Kolkata
April 2000 – November 2006
Responsibilities: Software development and programming for commercial applications

1) Ph.D. in Computer Science and Engineering
University: MAKAUT, WB (In-house)
Thesis: "Genetics in Soft Computing Framework"
Year: 2019

2) M.E. in Computer Science and Engineering
Institute: MAKAUT, WB (In-house)
Year: 2010

3) A.M.I.E (B.Tech Equivalent) in Computer Engineering
Institute: The Institution of Engineers (India)
Year: 2007

4) Post Diploma in Computer Application
Institute: Women’s Polytechnic, Jodhpur Park
Year: 2000

5) Diploma in Electronics & Telecommunication Engineering
Institute: Women’s Polytechnic, Jodhpur Park
Year: 1996

1. Sinha, K., Chakraborty, S., Bardhan, A., Saha, R., Chakraborty, S., & Biswas, S. (2024)
A New Differential Gene Expression Based Simulated Annealing for Solving Gene Selection Problem: A Case Study on Eosinophilic Esophagitis and Few Other Gastro-Intestinal Diseases.
Biochemical Genetics, 1–23. [SCI – 2.1]

2. Biswas, S., Clawson, W., & Levin, M. (2023)
Learning in Transcriptional Network Models: Computational Discovery of Pathway-Level Memory and Effective Interventions.
International Journal of Molecular Sciences, 24(1), 285. [SCI – 5.6]

3. Biswas, S., Manicka, S., Hoel, E., & Levin, M. (2021)
Gene Regulatory Networks Exhibit Several Kinds of Memory: Quantification of Memory in Biological and Random Transcriptional Networks.
iScience, 24(3), 102131. [SCIE – 5.08]

4. Mitra, S., Biswas, S., & Acharyya, S. (2021)
Application of Meta-Heuristics on Reconstructing Gene Regulatory Network: A Bayesian Model Approach.
IETE Journal of Research, 1–12. [SCI – 2.333]

5. Biswas, S., & Acharyya, S. (2020)
Multi-objective Simulated Annealing Variants to Infer Gene Regulatory Network: A Comparative Study.
IEEE/ACM Transactions on Computational Biology and Bioinformatics. [SCI – 2.428]

6. Biswas, S., Dutta, S., & Acharyya, S. (2019)
Identification of Disease Critical Genes Using Collective Meta-Heuristic Approaches: An Application to Preeclampsia.
Interdisciplinary Sciences: Computational Life Sciences, 11(3), 444–459. [SCI – 2.233]

7. Biswas, S., & Acharyya, S. (2017)
A Bi-objective RNN Model to Reconstruct Gene Regulatory Network: A Modified Multi-objective Simulated Annealing Approach.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(6), 2053–2059. [SCI – 2.428]

8. Biswas, S., & Acharyya, S. (2017)
Identification of Disease Critical Genes Causing Duchenne Muscular Dystrophy (DMD) Using Computational Intelligence.
CSI Transactions on ICT, 5(1), 3–8.

9. Biswas, S., & Acharyya, S. (2016)
Neural Model of Gene Regulatory Network: A Survey on Supportive Meta-Heuristics.
Theory in Biosciences, 135(1), 1–19. [SCI – 1.919]

1. Title: Computational Genetics and Gene Regulatory Network Analysis
Duration: January 2013 – March 2019
Role: Research Assistant / Ph.D. Research Fellow
Institution: MAKAUT, WB (In-house)
Funding Agency: Technical Education Quality Improvement Programme (TEQIP), Phase – II, Ministry of Education, Government of India
Objectives:
Reconstruction and modeling of gene regulatory networks (GRNs)
Development of multi-objective evolutionary algorithms for pathway prediction
Identification of disease-critical genes through computational intelligence approaches

2. Title: Memory Properties in Gene Regulatory Networks and Therapeutic Modulation
Duration: May 2019 – June 2021
Role: Post-doctoral Scholar
Institution: Levin Lab, Allen Discovery Center, Tufts University, MA, USA
Supervisor: Prof. Michael Levin
Objectives:
Investigating different forms of memory in biological GRNs
Developing computational models to simulate interventions
Contributing to a patented method for modulating network functions

3. Title: Computational Framework for Genomic Data Analysis Using AI
Duration: Ongoing
Role: Principal Researcher
Institution: Meghnad Saha Institute of Technology, Kolkata
Objectives:
Designing AI-based frameworks for analyzing differential gene expression
Application of single and multi-objective evolutionary algorithms for biomarker discovery
Integration of machine learning with biological datasets for knowledge extraction and predictive modeling

I. Undergraduate Courses (B.Tech – Computer Science and Engineering):

a) Computer Organization – taught to 3rd Semester students.
b) Computer Architecture – taught to 4th Semester students.
c) Optimization Techniques – taught to 4th Semester students specializing in Artificial Intelligence and Machine Learning (AIML).
d) Pattern Recognition – taught to 6th Semester students specializing in AIML.
e) Soft Computing – taught to 6th Semester students specializing in AIML.

II. Undergraduate Course (B.Tech – Computer Science and Business Systems):

a) Computational Statistics – taught to 3rd Semester students.

III. Postgraduate Course (M.Tech – Computer Science and Engineering):

a) Advanced Computer Architecture – taught to 1st Semester students.

1) International Invited Talk
Title: "GRN Inference: Perspectives and Emerging Trends”, Date: 04.02.2025, at Allen Discovery Center at Tufts University, MA,
US, Mode: Online, URL: https://www.youtube.com/watch?v=JkKUelM6K8w&t=577s

2) Invited Talk at MAKAUT
Title: "AI in Computational Genetics: Healthcare issues", Theme: Healthcare Application SERIES, Date: 10.08.2020, Organizer: MAKAUT, Mode: Online, URL: https://www.youtube.com/watch?v=csA9JAF9dzM&t=10s

1. Saha, S., Biswas, S., & Acharyya, S. (2016, February)
Gene selection by sample classification using k nearest neighbor and meta-heuristic algorithms
Conference: 2016 IEEE 6th International Conference on Advanced Computing (IACC)
Publisher: IEEE
Pages: 250–255

2. Santra, N., Biswas, S., & Acharyya, S. (2015, December)
Neural modeling of Gene Regulatory Network using Firefly algorithm
Conference: 2015 IEEE UP Section Conference on Electrical, Computer and Electronics (UPCON)
Publisher: IEEE
Pages: 1–6

3. Dutta, J., Biswas, S., Saha, S., & Acharyya, S. (2015, December)
Identification of disease-critical genes causing preeclampsia: Meta-heuristic approaches
Conference: 2015 IEEE UP Section Conference on Electrical, Computer and Electronics (UPCON)
Publisher: IEEE
Pages: 1–6

4. Biswas, S., & Acharyya, S. (2014, December)
Parameter estimation of gene regulatory network using honey bee mating optimization
Conference: 2014 Fourth International Conference of Emerging Applications of Information Technology (EAIT)
Publisher: IEEE
Pages: 3–8

5. Biswas, S., & Acharyya, S. (2014, February)
Gene expression profiling by estimating parameters of gene regulatory network using meta-heuristics: A comparative study
Conference: 2014 International Conference on Signal Processing and Integrated Networks (SPIN)
Publisher: IEEE
Pages: 264–268

6. Biswas, S., & Acharyya, S. (2014, February)
Gene expression profiling by estimating parameters of gene regulatory network using simulated annealing: A comparative study
Conference: 2014 IEEE International Advance Computing Conference (IACC)
Publisher: IEEE
Pages: 56–61